Sparse Multiple Canonical Correlation Network Analysis Tool ('SmCCNet') R package SmCCNet version 2.0.7 A canonical correlation based framework ('SmCCNet') designed for the construction of phenotype-specific multi-omics networks. This framework adeptly integrates single or multiple omics data types along with a quantitative or binary phenotype of interest. It offers a streamlined setup process that can be tailored manually or configured automatically, ensuring a flexible and user-friendly experience. Methods are described in Shi et al. (2019) "Unsupervised discovery of phenotype-specific multi-omics networks" <doi:10.1093/bioinformatics/btz226>. Software Depends: R (>= 3.5) Imports: EnvStats, future, pROC, spls, Matrix, pbapply, igraph, magrittr, rlist, furrr, purrr, pracma Suggests: knitr, rmarkdown, bookdown, testthat (>= 3.0.0), dplyr, reshape2, shadowtext, tidyverse, parallel, mltools, caret, Abhinav Pundir <abhinav.pundir@ucdenver.edu> Comprehensive R Archive Network (CRAN) Abhinav Pundir [cre], Weixuan Liu [aut], Yonghua Zhuang [aut], W. Jenny Shi [aut], Thao Vu [aut], Iain Konigsberg [aut], Katherine Pratte [aut], Laura Saba [aut], Katerina Kechris [aut] GPL-3 2026-05-01 application/tgz https://CRAN.R-project.org/package=SmCCNet doi:10.32614/CRAN.package.SmCCNet